A shape descriptors comparison for organs deformation sequence characterization in MRI sequences

Dynamic MRI sequences are clinically used for the assessment of pelvic floor disorders. The organs complex movements are observed in the median sagittal plane. An objective characterization of the deformations that occur could allow an estimation of the similarity of the sequences. This quantification could pave the way to sequence classification or pathological grade determination as well as to the comparison of a real sequence to a simulated one. Shape descriptors are used to quantify the organs deformation along real patient MRI sequences. We show the method consistency and some promising results.

[1]  M.-E. Bellemare,et al.  Toward the Simulation of the Strain of Female Pelvic Organs , 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[2]  Miroslaw Bober,et al.  MPEG-7 visual shape descriptors , 2001, IEEE Trans. Circuits Syst. Video Technol..

[3]  Richard J. Prokop,et al.  A survey of moment-based techniques for unoccluded object representation and recognition , 1992, CVGIP Graph. Model. Image Process..

[4]  Guojun Lu,et al.  Review of shape representation and description techniques , 2004, Pattern Recognit..

[5]  Ajay Divakaran,et al.  MPEG-7 visual motion descriptors , 2001, IEEE Trans. Circuits Syst. Video Technol..

[6]  Whoi-Yul Kim,et al.  A region-based shape descriptor using Zernike moments , 2000, Signal Process. Image Commun..

[7]  Hélène Laurent,et al.  Comparison of invariant descriptors for object recognition , 2005, IEEE International Conference on Image Processing 2005.

[8]  Raveendran Paramesran,et al.  On the computational aspects of Zernike moments , 2007, Image Vis. Comput..

[9]  Ramesh C. Jain,et al.  A survey on the use of pattern recognition methods for abstraction, indexing and retrieval of images and video , 2002, Pattern Recognit..